Sensitivity Response Analysis of Optical Surface Monitoring Systems Using the Fitzpatrick Scale: A Phantom Study

IF 2.2 Q3 ONCOLOGY Advances in Radiation Oncology Pub Date : 2024-07-02 DOI:10.1016/j.adro.2024.101564
Rakesh Kapoor MD , Aarti Jamwal PhD , Gaganpreet Singh PhD , Arun S. Oinam PhD , Divya Khosla MD , Mandeep Garg MD
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Abstract

Purpose

Optical surface monitoring systems (OSMSs) have gained substantial attention in modern radiation therapy, specifically in the context of surface guided radiation therapy, which offers real-time patient surface monitoring, ensuring accurate and effective radiation therapy treatments. The aim of this article is to evaluate the OSMS camera sensitivity toward different skin tones, categorized according to the Fitzpatrick scale, a universal classification of human skin tones, using a phantom.

Methods and Materials

This study used Catalyst and Sentinel OSMSs (C-RAD). The Alderson RANDO female pelvis phantom, located at the isocenter in computed tomography simulation and treatment rooms, served as an experimental subject. Eighteen skin tone–matching cotton cloths, selected on the basis of Von Luschan chromatic and Fitzpatrick scales, were wrapped around the phantom for sensitivity evaluation. Camera sensitivity was optimized by adjusting threshold/gain (100%-600%) and integration time during individual scans in both rooms. Temporal response analysis spanned 2 months, with 16 measurements for each OSMS taken in varying light conditions.

Results

The OSMSs successfully detected the surface of cloth-covered phantoms with varying mean (SD) integration times: 550 (34) to 950 (43) μs for the Sentinel system and 2300 (71) to 12,000 (400) μs for the Catalyst system. The sensitivity parameters differed for each skin tone, with lighter skin requiring shorter integration times and gain/threshold values. Darker skin tones necessitated higher parameters for optimal surface images. The reliability of the systems declined with excessive parameters, leading to noise and compromised accuracy in patient positioning.

Conclusions

Optimized sensitivity parameters tailored to individual skin tones are crucial for effective real-time patient surface monitoring in radiation therapy, as variations in skin color can affect the accuracy of measurements. The precision of skin color measurements in OSMSs relies on carefully adjusting camera sensitivity parameters. However, careful consideration is essential, as larger values are required for darker skin tones, compromising reliability. This suggests the need for exploring alternative image guidance methods for patients with darker skin tones.

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使用菲茨帕特里克量表对光学表面监测系统(OSMS)进行灵敏度响应分析:模型研究
目的光学表面监测系统(OSMS)在现代放射治疗中,特别是在表面引导放射治疗中获得了极大的关注,它提供实时的患者表面监测,确保准确有效的放射治疗。本文的目的是使用一个模型,评估 OSMS 相机对不同肤色的敏感度,这些肤色是根据菲茨帕特里克量表(一种通用的人体肤色分类方法)进行分类的。Alderson RANDO 女性骨盆模型作为实验对象,该模型位于计算机断层扫描模拟室和治疗室的等中心位置。根据 Von Luschan 色度和 Fitzpatrick 标度选择的 18 块皮肤色调匹配棉布被包裹在模型周围,用于灵敏度评估。在两个房间进行单独扫描时,通过调整阈值/增益(100%-600%)和积分时间来优化相机灵敏度。时间响应分析跨越 2 个月,每个 OSMS 在不同光线条件下进行了 16 次测量:Sentinel 系统的平均积分时间为 550 (34) 到 950 (43) μs,Catalyst 系统的平均积分时间为 2300 (71) 到 12,000 (400) μs。每种肤色的灵敏度参数都不同,肤色浅的需要较短的积分时间和增益/阈值。肤色较深的人需要更高的参数才能获得最佳的表面图像。由于肤色的变化会影响测量的准确性,因此根据不同肤色优化灵敏度参数对于放射治疗中有效的实时患者体表监测至关重要。OSMS 中肤色测量的精确度取决于对相机灵敏度参数的仔细调整。然而,仔细考虑是必不可少的,因为深肤色需要更大的数值,从而影响可靠性。这表明有必要为肤色较深的患者探索其他图像引导方法。
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来源期刊
Advances in Radiation Oncology
Advances in Radiation Oncology Medicine-Radiology, Nuclear Medicine and Imaging
CiteScore
4.60
自引率
4.30%
发文量
208
审稿时长
98 days
期刊介绍: The purpose of Advances is to provide information for clinicians who use radiation therapy by publishing: Clinical trial reports and reanalyses. Basic science original reports. Manuscripts examining health services research, comparative and cost effectiveness research, and systematic reviews. Case reports documenting unusual problems and solutions. High quality multi and single institutional series, as well as other novel retrospective hypothesis generating series. Timely critical reviews on important topics in radiation oncology, such as side effects. Articles reporting the natural history of disease and patterns of failure, particularly as they relate to treatment volume delineation. Articles on safety and quality in radiation therapy. Essays on clinical experience. Articles on practice transformation in radiation oncology, in particular: Aspects of health policy that may impact the future practice of radiation oncology. How information technology, such as data analytics and systems innovations, will change radiation oncology practice. Articles on imaging as they relate to radiation therapy treatment.
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